removing sciml references.

README.md

@@ -4,8 +4,6 @@ The service is a light wrapper service around [pyciemss](https://github.com/ciem
 Both a FastAPI and RQ tasks are provided so jobs can be run asynchronously for long periods
 of time. The service must also [conform to this spec](https://github.com/DARPA-ASKEM/simulation-api-spec).
 
-Experimental: `sciml` engine can be chosen for `simulate`.
-
 ## Startup
 
 To start the PyCIEMSS Simulation API, first run: 

service/execute.py

@@ -15,9 +15,6 @@
  optimize,
 )
 
-# jl = newmodule("SciMLIntegration")
-# jl.seval("using SciMLIntegration, PythonCall")
-
 logging.basicConfig()
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
@@ -27,17 +24,13 @@ def run(request, *, job_id):
  logging.debug(f"STARTED {job_id} (user_id: {request.user_id})")
  update_tds_status(job_id, status="running", start=True)
 
- # if request.engine == "ciemss":
  operation_name = request.__class__.pyciemss_lib_function
  kwargs = request.gen_pyciemss_args(job_id)
  logger.info(f"{job_id} started with the following args: {kwargs}")
  if len(operation_name) == 0:
  raise Exception("No operation provided in request")
  else:
  output = eval(operation_name)(**kwargs)
- # else:
- # operation = request.__class__.sciml_lib_function
- # output = operation(job_id, jl)
 
  attach_files(output, job_id)
  cleanup_job_dir(job_id)

service/models/base.py

@@ -74,9 +74,6 @@ class OperationRequest(BaseModel):
  def gen_pyciemss_args(self, job_id):
  raise NotImplementedError("PyCIEMSS cannot handle this operation")
 
- def run_sciml_operation(self, job_id, julia_context):
- raise NotImplementedError("SciML cannot handle this operation")
-
  # @field_validator("engine")
  # def must_be_ciemss(cls, engine_choice):
  # if engine_choice != "ciemss":

service/models/operations/simulate.py

@@ -87,12 +87,5 @@ def gen_pyciemss_args(self, job_id):
  **extra_options,
  }
 
- def run_sciml_operation(self, job_id, julia_context):
- amr_path = fetch_model(self.model_config_id, job_id)
- with open(amr_path, "r") as file:
- amr = file.read()
- result = julia_context.simulate(amr, self.timespan.start, self.timespan.end)
- return {"data": julia_context.pytable(result)}
-
  class Config:
  extra = Extra.forbid